Interesting information and meta-information about software systems can be extracted by analyzing their evolution histories. This information has been proved useful for understanding software evolution, predicting future changes, and performing an efficient change impact analysis. A rich source code repository is a prerequisite for a high quality evolution analysis. Nonetheless, the evolutionary information contained in current versioning systems for Aspect Oriented (AO) software is incomplete and of low quality, hence limiting the scope of AO software evolution analysis.